Principal Manager-Data Science-HO & SUPPORT-CVM CoE - Corporate Centre of Excellence

Lead Data Science (M7)

 

   

Analytics @ Kotak

Data is an integral part of Kotak Mahindra Bank – it is instilled in its DNA. Analytics is not just limited to the analytics team – but is important for each and every employee of the organization. This enables an efficient data-based discussion. Given the vital importance of analytics, Kotak Mahindra has structured around a centralized Analytics CoE team. The CoE has strong capabilities across the entire spectrum of the analytics function. 

 

Kotak Mahindra Bank is significantly augmenting its analytics team and provides an excellent platform to bright professionals having the right attitude.

 

 

This Data Scientist role will play an important role in ensuring that the data science team is able to meet and exceed the expectations of the Bank – giving tangible benefits to the business teams.

Job Role:

• Use expertise in machine learning to improve the predictive capability of the Bank
• Should be able to Demonstrate advanced predictive modelling technical and programming skills
• Explore various advanced modelling techniques used in Industry
• Guide and train team on analytical tools and analytical project management
• Validation and monitoring of analytical solution/scorecards developed
• Adhere to documented process and compliance requirements
• Good team leader who can manage team of 3-4 Data scientist

Job Requirements:

• Should be comfortable with model building in Python, Cloud environment, SAS 
• Excellent knowledge of machine learning algorithms (XgBoost, Random Forest, Neural Network )
• Experience in recommendation engine work (collaborative filtering, content-based filtering)
• At least 10+ years of experience with advanced analytics

Personality traits:

• Candidate must have excellent organizational skills, be level-headed, have good interpersonal skills
• Individuals with competency in advance analytics  
• Highly logical individuals with appreciation of emerging analytical and marketing technologies
• Strong communication skills to effective interaction with business stakeholders